Sho is an interactive environment for data analysis and scientific computing that lets you seamlessly connect scripts (in IronPython) with compiled code (in .NET) to enable fast and flexible prototyping. The environment includes powerful and efficient libraries for linear algebra as well as data visualization that can be used from any .NET language, as well as a feature-rich interactive shell for rapid development. Here, we meet the lead researcher behind Sho - John Platt.  Sho is very, very cool and you can use it’s powerful computational facilities from any managed language (or from C++/CLI). I highly recommend that you download and start playing with Sho, regardless of whether or not you program in Python. Props to John and his small team of talented developers!